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LSR of genome CNV from leukocytes to predict prostate cancer recurrence with short PSADT.
Abstract
<p>LSR derived from leukocyte genome CNV predicts PSADT 4 months or less. ROC analysis using LSRs derived from leukocyte CNVs as a prediction parameter (red) to predict PSADT 4 months or less, versus Nomogram (blue), Gleason’s grade (green) and the status of 8 fusion transcripts[<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0135982#pone.0135982.ref014" target="_blank">14</a>] (yellow). Samples were analyzed by the same procedure as <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0135982#pone.0135982.g003" target="_blank">Fig 3</a>. (B) Combination of LSR (L), Gleason’s grade (G), Nomogram (N) and the status of fusion transcripts (F) to predict prostate cancer recurrent PSADT 4 months or less. ROC analysis of a model combining LSR, fusion transcripts, Nomogram and Gleason’s grade using LDA is indicated by black. ROC analysis of a model combining fusion transcripts, Nomogram and Gleason’s grade using LDA is indicated by red. ROC analysis of a model combining LSR, fusion transcripts and Gleason’s grade using LDA is indicated by blue. ROC analysis of a model combining LSR, fusion transcripts and Nomogram using LDA is indicated by green. ROC analysis of a model combining LSR, Nomogram and Gleason’s grade is indicated by yellow.</p- Image
- Figure
- Uncategorised
- prostate cancer outcome prediction model
- fusion transcripts
- copy number variations
- 152 CNV fragments
- sensitivity
- genome copy number analysis
- prostate cancer recurrence
- Affymetrix SNP 6.0 chip
- prediction rate
- leukocyte prediction model
- Genomic copy number variations
- specificity
- Leukocytes Predict Prostate Cancer Clinical Outcomes
- 273 prostate cancer patients
- leukocyte genomes
- prediction model
- prostate cancer patients
- prostate cancer aggressiveness